P Caic 2 Chapter 18-21 Flashcards
(73 cards)
What is at the heart of generative AI systems?
At the heart of generative AI systems is a massive FM (Foundation Model).
What are Foundation Models (FMs)?
FMs are large-scale, pre-trained models that have been trained on vast datasets and can be fine-tuned or adapted for a wide range of tasks and applications.
What is the role of the generator in generative AI?
The generator is the core element that generates new data, whether it’s images, text, music, or other forms of content.
What is latent space in generative AI?
Latent space is a conceptual space where the model represents data in a compressed form, helping the generator create new content.
What is a loss function in generative AI?
A loss function measures how well the generated content matches the desired output, helping the model learn and improve over time.
What is the training data in generative AI?
The training data is the existing data that the model learns from, which could be images, text, audio, or any other type of content.
What are GANs?
GANs (Generative Adversarial Networks) are made up of two components: the generator and the discriminator.
What does the generator do in a GAN?
The generator’s role is to produce content that is convincing enough to deceive the discriminator.
What does the discriminator do in a GAN?
The discriminator’s job is to judge the authenticity of the content, determining whether it’s real or counterfeit.
What is the input for the generator in a GAN?
The generator takes in random noise as its input, often referred to as a latent random variable.
What are authentic data instances in a GAN?
Authentic data instances are the real data that the GAN is designed to mimic, serving as a benchmark for quality.
What is the role of the transformer architecture in generative AI?
The transformer architecture excels in understanding and generating data sequences, such as text.
What is the input embedding layer in a transformer?
The input embedding layer transforms individual elements (like words) into numerical vectors that the model can process.
What does the multi-head self-attention mechanism do in a transformer?
It allows the model to weigh the influence of different parts of the input differently, considering the relationships between words.
What is the purpose of generative AI tools?
Generative AI tools provide the ability to generate code, allowing users to focus on business logic rather than writing repeated code.
What is Amazon Q?
Amazon Q is a service designed to enhance productivity and decision-making within organizations by providing relevant answers to queries.
What are some popular foundation models in generative AI?
Some popular foundation models include GPT-4, DALL-E, and various models from AWS, Google, and Microsoft.
What is the first step in implementing generative AI?
Begin by clearly defining the problem you intend to solve with generative AI.
Why is the nature and volume of available data important in generative AI?
The nature and volume of available data are critical as some FMs require extensive datasets to train effectively.
What is the purpose of setting a threshold for response quality in generative AI?
Setting a threshold ensures that only responses meeting a certain level of confidence or relevance are accepted.
What role does human review play in generative AI?
Human review helps filter out potentially hallucinatory responses and ensures accuracy and safety.
What is the importance of monitoring model performance in generative AI?
Monitoring performance and gathering user feedback helps identify and address instances of model hallucinations.
What safety measures should be implemented in generative AI?
Implement safety measures to prevent the generation of harmful, biased, or inappropriate content.
What is interpolation in the context of generative models?
Interpolation is like filling in the gaps between two known points. It means making the steps or transitions between one output and another smoother and more logical.
